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Claude Opus 4.7 vs MiMo-V2.5-Pro

Claude Opus 4.7 leads MiMo-V2.5-Pro on coding, 67.5 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 27.3x less per output token ($0.9152 vs $25.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
56
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
4
vs boards won of 60 shared

Claude Opus 4.7 or MiMo-V2.5-Pro: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro.

Pick MiMo-V2.5-Pro for output tokens 27.3x cheaper ($0.9152 vs $25.00 per million) and a lower cost per solved task ($0.03 against $2.95).

Shared results
60
Claude Opus 4.7 only
49
MiMo-V2.5-Pro only
11
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.7 67.5 from 4 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Intelligence, 14.7 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.7 71.0% against MiMo-V2.5-Pro 34.1%, 36.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against MiMo-V2.5-Pro $0.9152 per million output tokens, 27.3x apart.
Context window
Claude Opus 4.7 takes 1M tokens, MiMo-V2.5-Pro 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.7BarsMiMo-V2.5-ProTies
Coding120
Intelligence10
Agentic work51
Reasoning60
Math30
Knowledge90
General203
All shared boards564
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
LMArena WebDev15581480Claude Opus 4.7
AA Coding Index73.660.2Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%81.3%Claude Opus 4.7
SWE-bench Verified (Vals AI)82.0%74.0%Claude Opus 4.7
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)71.0%34.1%Claude Opus 4.7
Code migration (Vals AI)43.9%21.6%Claude Opus 4.7
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%57.3%Claude Opus 4.7
SciCodeNot measured50.6%Only MiMo-V2.5-Pro measured
Terminal-Bench Hard (Artificial Analysis run)54.5%43.2%Claude Opus 4.7
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured899.8Only MiMo-V2.5-Pro measured
LMArena Text: coding15191501Claude Opus 4.7
LMArena Text: software and IT15161495Claude Opus 4.7
LMArena WebDev: React15601469Claude Opus 4.7
LMArena WebDev: HTML15541473Claude Opus 4.7
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Codebase QnA40.3%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Refactoring48.6%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Test Writing38.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
AA Intelligence Index40.726.0Claude Opus 4.7
Epoch Capabilities Index156.8Not measuredOnly Claude Opus 4.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
AA Agentic Index38.621.3Claude Opus 4.7
Finance Agent (Vals AI)51.5%41.5%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%11.5%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%15.9%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%55.2%Claude Opus 4.7
τ²-Bench Telecom88.6%94.2%MiMo-V2.5-Pro
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
MCP Atlas79.1%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
GPQA Diamond90.2%82.6%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%86.6%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%35.7%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061486Claude Opus 4.7
LMArena Text: expert15211501Claude Opus 4.7
LMArena Text: hard prompts in English15081494Claude Opus 4.7
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%22.0%Claude Opus 4.7
LMArena Text: math14981481Claude Opus 4.7
LMArena Text: mathematical work15091491Claude Opus 4.7
MathArena20.4%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
MMLU Pro89.9%84.6%Claude Opus 4.7
LegalBench (Vals AI)85.3%77.1%Claude Opus 4.7
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%61.4%Claude Opus 4.7
TaxEval (Vals AI)75.3%73.8%Claude Opus 4.7
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%32.5%Claude Opus 4.7
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081482Claude Opus 4.7
LMArena Text: medicine and healthcare14951473Claude Opus 4.7
LMArena Text: legal and government15041474Claude Opus 4.7
LMArena Text: business and finance14901466Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
Design Arena: websitesNot measured1266Only MiMo-V2.5-Pro measured
Design Arena: UI componentsNot measured1246Only MiMo-V2.5-Pro measured
Design Arena: game devNot measured1261Only MiMo-V2.5-Pro measured
Design Arena: data vizNot measured1257Only MiMo-V2.5-Pro measured
Design Arena: 3DNot measured1243Only MiMo-V2.5-Pro measured
Design Arena: all code categoriesNot measured1265Only MiMo-V2.5-Pro measured
Design Arena: SVGNot measured1182Only MiMo-V2.5-Pro measured
Design Arena: ASCII artNot measured1156Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index203
General benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
SAGE (Vals AI)56.1%Not measuredOnly Claude Opus 4.7 measured
MedScribe (Vals AI)83.0%83.7%MiMo-V2.5-Pro
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)78.7%79.7%MiMo-V2.5-Pro
DTBench94.7%84.5%Claude Opus 4.7
LMCA52.2%29.5%Claude Opus 4.7
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901464Claude Opus 4.7
LMArena Text: instruction following14981475Claude Opus 4.7
LMArena Text: creative writing14861438Claude Opus 4.7
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English14961477Claude Opus 4.7
LMArena Text: non-English14801448Claude Opus 4.7
LMArena Text: Chinese15311507Claude Opus 4.7
LMArena Text: German14951459Claude Opus 4.7
LMArena Text: Japanese14741410Claude Opus 4.7
LMArena Text: Korean14641435Claude Opus 4.7
LMArena Text: French15031487Claude Opus 4.7
LMArena Text: Spanish14941469Claude Opus 4.7
LMArena Text: Russian14941449Claude Opus 4.7
LMArena Text: Polish14891464Claude Opus 4.7
LMArena Text: multi-turn15051476Claude Opus 4.7
LMArena Text: longer queries15051481Claude Opus 4.7
LMArena Text: writing and language14921451Claude Opus 4.7
LMArena Text: entertainment and media14741438Claude Opus 4.7
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
EQ-Bench 413111208Claude Opus 4.7
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.7MiMo-V2.5-ProLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.7$0.018Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

MiMo-V2.5-Pro costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.7 and MiMo-V2.5-Pro
SpecificationAnthropic Claude Opus 4.7Xiaomi MiMo-V2.5-Pro
MakerAnthropicXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026April 22, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.4575
Output $/Mtok$25.00$0.9152
Coding index67.531.6
Independent measurements behind it44
Cost per solved task$2.95$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than MiMo-V2.5-Pro for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro for output tokens 27.3x cheaper ($0.9152 vs $25.00 per million) and a lower cost per solved task ($0.03 against $2.95).

Which is cheaper, Claude Opus 4.7 or MiMo-V2.5-Pro?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and MiMo-V2.5-Pro $0.03.

Which has the bigger context window, Claude Opus 4.7 or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.7 vs MiMo-V2.5-Pro comparison based on?

60 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-7-vs-xiaomi-mimo-v2-5-pro">LLMBenchmark.ai, Claude Opus 4.7 vs MiMo-V2.5-Pro</a></p>